Llama
Collection
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The pipeline tag "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, any-to-any, other
Model
Llama-2-7b-qlora-msagent-react is fine-tuned from Llama-2-7b with MSAgent-Bench dataset by XTuner.
Quickstart
Usage with XTuner CLI
Installation
pip install xtuner
Chat
xtuner chat meta-llama/Llama-2-7b-hf --adapter xtuner/Llama-2-7b-qlora-msagent-react --lagent
Fine-tune
Use the following command to quickly reproduce the fine-tuning results.
NPROC_PER_NODE=8 xtuner train llama2_7b_qlora_msagent_react_e3_gpu8
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Model tree for xtuner/Llama-2-7b-qlora-msagent-react
Base model
meta-llama/Llama-2-7b-hf